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multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will be placed on Representation Learning techniques, Transformer-based architectures
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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scalable semantic interoperability in large-scale DPP systems. Particular emphasis will be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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to work on Liaise with co-I from NetaTech and Tohoku University to apply the in-house developed light conversion film on the architectural design and system used for the UmFm. Taking care of the day to day
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on studies of the genetic architecture of cardiometabolic diseases, especially the metabolic parts of these diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. Lu (https
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and MALDI/ESI, and lignin composition using TDA/GCMS. The postdoc will work closely with teams developing engineered plants to develop a deeper understanding of cell wall architecture. This is expected
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architectures, and interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages: shap, captum, etc. Experience with bulk and/or single-cell omics data analysis (e.g. bulk
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sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates
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Generate new research strategies to effectively address the needs of the postdoc project Collaborate with functional and technical experts to facilitate scientific achievement Maintain a high level of